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accession-icon E-MTAB-3969
Transcription profiling by array of Escherichia coli O157:H7 Sakai subjected to an abrupt downshift in temperature and water activity at multiple time points
  • organism-icon Escherichia coli
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

This experiment contains the transcriptomic dataset that constitutes part of an integrated transcriptomic and proteomic study monitoring the response of exponential phase E. coli O157:H7 Sakai cultures upon an abrupt downshift in temperature and water activity (from 35°C aw 0.993 to 14°C aw 0.967).

Publication Title

Physiological Response of Escherichia coli O157:H7 Sakai to Dynamic Changes in Temperature and Water Activity as Experienced during Carcass Chilling.

Sample Metadata Fields

Time

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accession-icon GSE25713
Differential Expression of Chemokine and Matrix Re-Modelling Genes Explains Contrasting Schistosoma japonicum-induced Hepatopathology in Murine Models
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

The pathological outcomes of schistosomiasis are largely dependent on the molecular and cellular mechanisms of the host immune response. In this study, we demonstrate the variation of host gene expression which underlies the contrasting hepatic pathology observed between two inbred mouse strains following schistosome infection. Whole genome microarray analysis was employed in conjunction with histological and immunohistochemical analysis to define and compare the hepatic gene expression profiles and cellular composition associated with the hepatopathology observed in BALB/c and CBA mice during an active Schistosoma japonicum infection. Here, we show that the transcriptional profiles differ significantly between the two mouse strains with high statistical confidence. We identified specific genes correlating with the more severe pathology associated with CBA mice, as well as genes which may confer the milder degree of pathology associated with BALB/c mice. Generally, up-regulated genes were largely associated with immune and inflammatory responses, antigen processing and cytokine/chemokine activity. In BALB/c mice, neutrophil genes exhibited striking increases in expression, which coincided with significantly greater accumulation of neutrophils at granulomatous regions, compared to CBA mice. In contrast, up-regulated expression of eosinophil chemokine CCL24 in CBA mice paralleled the cellular influx of eosinophils to the hepatic granulomas. Additionally, there was greater down-regulation of genes involved in metabolic processes in CBA mice, reflecting the greater degree of liver damage in these mice. Genes involved in fibrosis showed similar levels of expression in both mouse strains. Genes associated with Th1 and Th2 responses showed no significant differences in expression between strains. These results provide a more complete picture of the molecular and cellular mechanisms which govern the pathological outcome of hepatic schistosomiasis. Furthermore, this improved understanding of schistosome immunopathogenesis in the murine model will provide the basis for a better appreciation of the complexities associated with chronic human schistosomiasis.

Publication Title

Differential expression of chemokine and matrix re-modelling genes is associated with contrasting schistosome-induced hepatopathology in murine models.

Sample Metadata Fields

Sex, Age, Specimen part, Time

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accession-icon GSE14367
Temporal Expression of Chemokines Dictates the Hepatic Inflammatory Infiltrate in a Murine Model of Schistosomiasis.
  • organism-icon Mus musculus, Schistosoma japonicum
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina mouse-6 v1.1 expression beadchip

Description

Schistosomiasis continues to be an important cause of parasitic morbidity and mortality world-wide. Determining the molecular mechanisms regulating the development of granulomas and fibrosis will be essential for understanding how schistosome antigens interact with the host environment. We report here the first whole genome microarray analysis of the murine liver during the progression of Schistosoma japonicum egg-induced granuloma formation and hepatic fibrosis. Our results reveal a distinct temporal relationship between the expression of chemokine subsets and the recruitment of cells to the infected liver. Genes up-regulated earlier in the response included T- and B-cell chemoattractants, reflecting the early recruitment of these cells illustrated by flow cytometry. The later phases of the response corresponded with peak recruitment of eosinophils, neutrophils, macrophages and myofibroblasts/hepatic stellate cells (HSCs) and the expression of chemokines with activity for these cells including CCL11 (eotaxin 1), members of the Monocyte-chemoattractant protein family (CCL7, CCL8, CCL12) and the Hepatic Stellate Cell/Fibrocyte chemoattractant CXCL1. Peak expression of macrophage chemoattractants (CCL6, CXCL14) and markers of alternatively-activated macrophages (e.g. Retnla) during this later phase provides further evidence of a role for these cells in schistosome-induced pathology. Additionally, we demonstrate that CCL7 immunolocalises to the fibrotic zone of granulomas. Furthermore, striking up-regulation of neutrophil markers and the localisation of neutrophils and the neutrophil chemokine S100A8 to fibrotic areas suggests the involvement of neutrophils in S. japonicum-induced hepatic fibrosis. These results further our understanding of the immunopathogenic and, especially, chemokine signalling pathways that regulate the development of S. japonicum-induced granulomas and fibrosis and may provide correlative insight into the pathogenesis of other chronic inflammatory diseases of the liver where fibrosis is a common feature.

Publication Title

Temporal expression of chemokines dictates the hepatic inflammatory infiltrate in a murine model of schistosomiasis.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

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accession-icon GSE94279
Expression data from environmentally enriched mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Environmental enrichment has been shown to induce wholescale alterations to the gene expression profile of experimental animals

Publication Title

The impact of environmental enrichment on the murine inflammatory immune response.

Sample Metadata Fields

Sex, Age

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accession-icon GSE27171
Migrating Schistosoma japonicum schistosomula induce type-2 inflammation in the murine lung
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Migrating schistosomula are an important stage of the schistosome lifecycle and represent a key target for elimination of infection by natural and vaccine induced host immune responses. To gain a better understanding of how these parasites initiate a primary host immune response we have characterised the host lung response to migrating Schistosoma japonicum schistosomula using a combination of histochemistry, microarrays and quantitative cytokine analysis. Our data suggest that, during a S. japonicum infection, actively migrating schistosomula induce a Type-2 cytokine response in the lung that may support the subsequent development of a CD4+ T helper 2 (Th2) response against egg antigens. This hypothesis is supported by the fact that schistosomula and schistosome eggs are known to express important Th2-inducing antigens such as omega-1, peroxiredoxin, kappa-5 and IPSE/alpha1. The host lung response to migrating schistosomula was associated with increased numbers of macrophages and expression of markers for alternatively activated macrophages (AAM) in the lung. Activation of AAM in the lung and at the systemic level could lead to the modulation of the host immune response to favour parasite survival. Induction of these cells could also contribute to diminished inflammatory responses to, for example, allergy and asthma that are known to be associated with helminth infections. These data enhance our understanding of the mechanisms whereby schistosomes may evade the immune response and the mechanisms by which schistosome infection can help influence the host response following exposure to allergenic stimuli.

Publication Title

Migrating Schistosoma japonicum schistosomula induce an innate immune response and wound healing in the murine lung.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon E-MEXP-546
Transcription profiling of Arabidopsis leading to the identification of novel components in the EDS1/PAD4-regulated defence pathwayabidopsis-Pst-eds1-pad4
  • organism-icon Arabidopsis thaliana
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Gene expression profiling leading to the identification of novel components in the EDS1/PAD4-regulated defence pathway

Publication Title

Salicylic acid-independent ENHANCED DISEASE SUSCEPTIBILITY1 signaling in Arabidopsis immunity and cell death is regulated by the monooxygenase FMO1 and the Nudix hydrolase NUDT7.

Sample Metadata Fields

Age, Specimen part, Time

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accession-icon SRP097081
Transcriptomic analysis of Drosophilalarval crystal cells
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Crystal cells are one of the 3 Drosophila blood cell lineages and represent less than 5% of the total hemocytes in wild type larvae. There development is notably controlled by mlf (myeloid leukemia factor), which regulate their number by stabilising the lineage-specific transcription factor Lozenge. To gain insight into the biology of this blood cell lineage and its regulation by mlf, we established the gene expression profile of the circulating crystal cells in wildtype and mlf mutant third instar larvae. This study provides a rich source of information to further characterise crystal cell function and regulation. In addition our data show that mlf is a major regulator of crystal cell gene expression programm and that mlf mutation leads to the accumulation of misdifferentiated crystal cells. Overall design: RNA expression profiles of sorted lz-GAL4,UAS-GFP+ circulating blood cells from wild type and mlf-/- third instar Drosophila larvae were generated by deep sequencing, in triplicate, using Illumina HiSeq2500 sequencing platform.

Publication Title

Control of RUNX-induced repression of Notch signaling by MLF and its partner DnaJ-1 during Drosophila hematopoiesis.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE30929
Whole-transcript expression data for liposarcoma
  • organism-icon Homo sapiens
  • sample-icon 119 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Liposarcoma is the most common soft tissue sarcoma, accounting for about 20% of cases. Liposarcoma is classified into 5 histologic subtypes that fall into 3 biological groups characterized by specific genetic alterations. To identify genes that contribute to liposarcomagenesis and to better predict outcome for patients with the disease, we undertook expression profiling of liposarcoma. U133A expression profiling was performed on 140 primary liposarcoma samples, which were randomly split into training set (n=95) and test set (n=45). A multi-gene predictor for distant recurrence-free survival (DRFS) was developed using the supervised principal component method. Expression levels of the 588 genes in the predictor were used to calculate a risk score for each patient. In validation of the predictor in the test set, patients with low risk score had a 3-year DRFS of 83% vs. 45% for high risk score patients (P=0.001). The hazard ratio for high vs. low score, adjusted for histologic subtype, was 4.42 (95% confidence interval 1.26-15.55; P=0.021). The concordance probability for risk score was 0.732. Genes related to adipogenesis, DNA replication, mitosis, and spindle assembly checkpoint control were all highly represented in the multi-gene predictor. Three genes from the predictor, TOP2A, PTK7, and CHEK1, were found to be overexpressed in liposarcoma samples of all five subtypes and in liposarcoma cell lines. Knockdown of these genes in liposarcoma cell lines reduced proliferation and invasiveness and increased apoptosis. Thus, genes identified from this predictor appear to have roles in liposarcomagenesis and have promise as therapeutic targets. In addition, the multi-gene predictor will improve risk stratification for individual patients with liposarcoma.

Publication Title

Expression profiling of liposarcoma yields a multigene predictor of patient outcome and identifies genes that contribute to liposarcomagenesis.

Sample Metadata Fields

Specimen part

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accession-icon SRP024296
Transcriptome analysis of Mouse E14-TG2a.IV ES cells
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina Genome Analyzer II

Description

Analysis of gene expression in Mouse E14-TG2a.IV strain ES cells Overall design: Single end RNA-seq analysis of PolyA selected RNA from E14-TG2a.IV ES cells

Publication Title

Analysis of hundreds of cis-regulatory landscapes at high resolution in a single, high-throughput experiment.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE149057
Expression data from undifferentiated and iPS/ES cells differentiated to a myogenic fate
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st), Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Differentiation of the human PAX7-positive myogenic precursors/satellite cell lineage <i>in vitro</i>.

Sample Metadata Fields

Specimen part

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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